{"id":"evt_0c6e8971bfc7","title":"Building AI Agents That Actually Remember","date":"2026-04-08","timezone":"America/New_York","start_time":"17:30","time_of_day":"evening","venue":null,"location":{"basis":"unresolved","likely_area":null,"likely_area_granularity":null,"evidence":null},"description":"AI agents can look great in a demo but break under real-world complexity. Join the NYC MLOps Community for a relaxed meetup exploring what it really takes to build production-ready agent systems, covering memory, retrieval, context, and reliability. Hear practical lessons from Google, Tavily, Oracle, and Visia, participate in Q&A, and network with fellow engineers and builders.","access":{"free":null,"application_required":null},"audience_roles":["technical_builders","operators"],"audience_orientation":"technical","company_stage":null,"interaction":["content"],"topics":["ai"],"modality":"in_person","meal_context":"none","series":null,"mentions":[{"text":"Google","kind":"organization","subtype":"company","role":"mentioned"},{"text":"Oracle","kind":"organization","subtype":"company","role":"mentioned"},{"text":"Tavily","kind":"organization","subtype":"company","role":"mentioned"},{"text":"Visia","kind":"organization","subtype":"company","role":"mentioned"},{"text":"NYC MLOps Community","kind":"organization","subtype":"community","role":"organizer"}],"sources":[{"id":"nextnyc","class":"newsletter","publisher":"nextNYC","first_observed_at":"2026-03-30T11:45:52.0000000Z","last_observed_at":"2026-04-06T11:32:44.0000000Z"}],"discovery":{"first_party":[],"newsletter":["nextnyc"],"provider":null},"basis":{"audience_roles":{"technical_builders":"observed","operators":"inferred"},"topics":{"ai":"observed"},"audience_orientation":"observed","company_stage":null,"interaction":"observed","modality":"default"},"canonical_url":null,"first_seen":"2026-03-30T11:45:52.0000000Z","last_seen":"2026-04-06T11:32:44.0000000Z","observation_count":2}